Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction.
Xiaohong FanYin YangKe ChenYujie FengJianping ZhangPublished in: CoRR (2023)
Keyphrases
- incremental learning
- image reconstruction
- reconstructed image
- incremental learning algorithm
- super resolution
- maximum a posteriori
- compressed sensing
- semidefinite programming
- fuzzy artmap
- inverse problems
- emission computed tomography
- emission tomography
- radon transform
- image reconstruction algorithms
- supervised learning
- tomographic reconstruction
- reconstruction method
- reconstruction process
- signal reconstruction
- sparsely sampled
- zernike moments
- positron emission tomography
- data sets
- random projections
- principal component analysis
- pairwise
- computational complexity
- multimedia